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Variational Inference

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Showing 351–400 of 2274 papers

TitleStatusHype
Federated Variational Inference for Bayesian Mixture Models—0
Using the Path of Least Resistance to Explain Deep NetworksCode0
Simplify RLHF as Reward-Weighted SFT: A Variational Method—0
Censor Dependent Variational InferenceCode0
Scalable Discrete Diffusion Samplers: Combinatorial Optimization and Statistical Physics—0
Quantification of model error for inverse problems in the Weak Neural Variational Inference framework—0
Functional Complexity-adaptive Temporal Tensor Decomposition—0
Koopman-Equivariant Gaussian Processes—0
The Odyssey of the Fittest: Can Agents Survive and Still Be Good?Code0
Bridging the inference gap in Mutimodal Variational Autoencoders—0
Mixture of neural operator experts for learning boundary conditions and model selection—0
Hierarchical Sparse Bayesian Multitask Model with Scalable Inference for Microbiome Analysis—0
Federated Generalised Variational Inference: A Robust Probabilistic Federated Learning Framework—0
ISAM-MTL: Cross-subject multi-task learning model with identifiable spikes and associative memory networks—0
A Unified Framework for Entropy Search and Expected Improvement in Bayesian Optimization—0
Variational Combinatorial Sequential Monte Carlo for Bayesian Phylogenetics in Hyperbolic SpaceCode0
Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer—0
Approximate Message Passing for Bayesian Neural NetworksCode0
Deep Operator Networks for Bayesian Parameter Estimation in PDEs—0
A recursive Bayesian neural network for constitutive modeling of sands under monotonic loading—0
Globally Convergent Variational InferenceCode0
Compact Bayesian Neural Networks via pruned MCMC samplingCode0
Analog Bayesian neural networks are insensitive to the shape of the weight distribution—0
Generative Flow Networks: Theory and Applications to Structure Learning—0
Low-Order Flow Reconstruction and Uncertainty Quantification in Disturbed Aerodynamics Using Sparse Pressure MeasurementsCode0
A Particle Algorithm for Mean-Field Variational Inference—0
Learning to Forget: Bayesian Time Series Forecasting using Recurrent Sparse Spectrum Signature Gaussian Processes—0
PhyloGen: Language Model-Enhanced Phylogenetic Inference via Graph Structure Generation—0
Convergence of Statistical Estimators via Mutual Information Bounds—0
Learning Set Functions with Implicit Differentiation—0
Task Diversity in Bayesian Federated Learning: Simultaneous Processing of Classification and RegressionCode0
Efficient Generative Modeling with Residual Vector Quantization-Based Tokens—0
Stochastic Learning of Non-Conjugate Variational Posterior for Image Classification—0
Disentangling impact of capacity, objective, batchsize, estimators, and step-size on flow VI—0
DPGIIL: Dirichlet Process-Deep Generative Model-Integrated Incremental Learning for Clustering in Transmissibility-based Online Structural Anomaly Detection—0
Fixed-Mean Gaussian Processes for Post-hoc Bayesian Deep LearningCode0
Scalable Bayesian Tensor Ring Factorization for Multiway Data AnalysisCode0
Generative Modeling of Neural Dynamics via Latent Stochastic Differential Equations—0
VIPaint: Image Inpainting with Pre-Trained Diffusion Models via Variational Inference—0
Understanding Machine Learning Paradigms through the Lens of Statistical Thermodynamics: A tutorial—0
Revised Regularization for Efficient Continual Learning through Correlation-Based Parameter Update in Bayesian Neural Networks—0
Gradient-based optimization for variational empirical Bayes multiple regressionCode0
Variational Autoencoders for Efficient Simulation-Based Inference—0
LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport—0
C^2INet: Realizing Incremental Trajectory Prediction with Prior-Aware Continual Causal Intervention—0
Structure learning with Temporal Gaussian Mixture for model-based Reinforcement Learning—0
Variational Bayesian Bow tie Neural Networks with ShrinkageCode0
Sparse Bayesian Generative Modeling for Compressive SensingCode0
PRISM: Privacy-preserving Inter-Site MRI Harmonization via Disentangled Representation LearningCode0
Streaming Bayes GFlowNets—0
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